Analyzing real-time traffic data (from cameras, sensors, GPS) to optimize traffic signal timing, forecast congestion, and recommend optimal alternative routes for road users.

Key Benefits: Minimizing congestion, saving travel time, reducing fuel consumption and emissions, and enhancing the efficiency of existing transportation infrastructure.

Utilizing on-board sensors in vehicles (cars, trucks, trains, etc.) to collect data on engine performance, tires, braking systems, etc. Using AI to analyze this data to predict when components require maintenance or are at risk of failure.

Key Benefits: Reducing major repair costs, preventing unexpected roadside breakdowns, extending vehicle lifespan, and ensuring safety for passengers and cargo.

Developing software and AI algorithms to calculate optimal routes for freight vehicles, public buses, or delivery services, considering factors such as distance, time, fuel costs, and traffic conditions.

Key Benefits: Reducing operational costs, increasing delivery/transportation efficiency, and enhancing customer and service user satisfaction.

Developing mobile applications or automated systems to allow users to pay for bus/train tickets, road tolls, and parking fees conveniently and quickly via smartphones or other electronic payment methods.

Key Benefits: Convenience for users, reducing waiting times, minimizing cash usage, and enabling more efficient revenue management.

Using cameras combined with AI to detect traffic violations (running red lights, lane encroachment, etc.), monitoring speed, and analyzing dangerous driving behaviors. Ensuring cybersecurity for traffic control systems and connected vehicles.

Key Benefits: Enhancing compliance with traffic laws, minimizing accidents, and ensuring the safety of traffic management systems from cyberattacks.